2,590 Quant jobs in the United States
Quantitative Analyst (Quant)
33101 Miami, Florida
$160000 Annually
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Our client, a prominent financial institution, is seeking a highly analytical and mathematically gifted Quantitative Analyst to join their esteemed trading strategy team in **Miami, Florida, US**. This challenging role involves developing, implementing, and refining sophisticated mathematical models and algorithms for financial markets. You will be instrumental in designing trading strategies, pricing complex derivatives, and managing risk exposures. Responsibilities include conducting in-depth statistical analysis of market data, performing back-testing of models, and collaborating with portfolio managers and traders to translate research into actionable trading decisions. A deep understanding of stochastic calculus, probability theory, time series analysis, and financial econometrics is essential. Proficiency in programming languages such as Python, C++, or R, along with experience in financial libraries and databases, is required. The ideal candidate will possess a Master's degree or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering, with a minimum of 5 years of relevant experience in quantitative finance. Experience with machine learning techniques applied to finance is a strong plus. Excellent communication and presentation skills are necessary to articulate complex quantitative concepts to both technical and non-technical audiences. This role offers a unique opportunity to work at the forefront of financial innovation, develop cutting-edge quantitative strategies, and make a significant impact on trading performance within a highly collaborative and dynamic environment.
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0
Quantitative Analyst (Quant)
90210 Los Angeles, California
$150000 Annually
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Job Description
Our client is seeking a highly analytical and mathematically inclined Quantitative Analyst (Quant) to join their prestigious banking and finance division in Los Angeles, California, US . This challenging role requires a deep understanding of financial markets, advanced statistical modeling, and sophisticated programming skills to develop and implement complex financial models for trading, risk management, and derivative pricing. The successful candidate will play a crucial role in driving profitable strategies and mitigating financial risks.
Responsibilities:
Qualifications:
Responsibilities:
- Develop, implement, and validate quantitative models for pricing complex derivatives, hedging strategies, and portfolio optimization.
- Conduct rigorous statistical analysis of financial market data to identify trading opportunities and risks.
- Build and maintain high-performance trading algorithms and risk management systems.
- Collaborate with traders, portfolio managers, and risk managers to understand their needs and provide data-driven insights.
- Perform back-testing and stress-testing of models to assess their performance under various market conditions.
- Contribute to the development of new financial products and investment strategies.
- Ensure the accuracy and reliability of model outputs through thorough testing and validation.
- Stay current with academic research and industry trends in quantitative finance.
- Document models, methodologies, and results clearly and comprehensively.
- Communicate complex quantitative concepts effectively to both technical and non-technical stakeholders.
Qualifications:
- Advanced degree (Master's or Ph.D.) in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
- Proven experience (3+ years) as a Quantitative Analyst in the financial services industry (investment banking, hedge funds, asset management).
- Strong command of statistical modeling, time series analysis, stochastic calculus, and numerical methods.
- Expertise in programming languages commonly used in quant finance, such as Python (NumPy, SciPy, Pandas), C++, or R.
- Experience with financial derivatives (equities, fixed income, FX, commodities) and their pricing.
- Familiarity with risk management frameworks (VaR, CVA, XVA).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills.
- Ability to work independently and collaboratively in a demanding, fast-paced environment.
- Demonstrated ability to translate complex theoretical concepts into practical applications.
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1
Quantitative Analyst (Quant)
55402 Minneapolis, Minnesota
$110000 Annually
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Posted 2 days ago
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Job Description
Our client, a leading financial institution, is seeking a highly analytical and motivated Quantitative Analyst to join their esteemed team in **Minneapolis, Minnesota, US**. This role offers a unique opportunity to leverage advanced mathematical and statistical techniques to develop sophisticated financial models, trading strategies, and risk management systems. You will work at the intersection of finance and technology, contributing to data-driven decision-making across various business units. The ideal candidate will possess a strong academic background in a quantitative field, exceptional programming skills, and a deep understanding of financial markets. You will collaborate with traders, portfolio managers, and risk officers to translate complex financial concepts into practical, implementable solutions.
Key Responsibilities include:
Qualifications:
Key Responsibilities include:
- Develop, implement, and test quantitative models for pricing, risk management, and trading strategies.
- Perform statistical analysis and data mining on large financial datasets.
- Design and implement algorithms for financial applications.
- Collaborate with business stakeholders to understand their needs and translate them into quantitative solutions.
- Build and maintain high-quality code in languages such as Python, R, or C++.
- Conduct research into new quantitative methods and technologies.
- Monitor and validate the performance of existing models and trading strategies.
- Prepare reports and presentations to communicate complex quantitative findings to non-technical audiences.
- Ensure compliance with regulatory requirements and internal risk policies.
- Contribute to the firm's intellectual capital through research and innovation.
Qualifications:
- Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative discipline.
- Proven experience as a Quantitative Analyst or in a similar role within the financial services industry.
- Strong programming skills in Python, C++, or R, with experience in libraries like NumPy, Pandas, and SciPy.
- Proficiency in statistical modeling, time series analysis, and machine learning techniques.
- Solid understanding of financial markets, instruments, and derivatives.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Experience with data visualization tools is a plus.
- Ability to work effectively in a collaborative team environment.
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2
Quantitative Analyst (Quant)
90001 Los Angeles, California
$130000 Annually
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Posted 4 days ago
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Job Description
Our client, a leading investment bank, is seeking a highly analytical and mathematically gifted Quantitative Analyst to join their prestigious trading division in Los Angeles, California, US . This role is central to developing and implementing sophisticated trading strategies, pricing complex financial derivatives, and managing risk. You will leverage advanced statistical modeling, machine learning techniques, and programming skills to derive insights from vast datasets and contribute to the firm's competitive edge in the global markets. The ideal candidate possesses a strong academic background in a quantitative discipline and a passion for financial markets.
Key responsibilities include:
Key responsibilities include:
- Developing, testing, and implementing quantitative models for pricing, hedging, and risk management of financial instruments.
- Designing and backtesting algorithmic trading strategies across various asset classes.
- Performing statistical analysis of market data to identify trading opportunities and patterns.
- Collaborating with portfolio managers and traders to understand their needs and develop tailored quantitative solutions.
- Building and maintaining high-performance trading systems and infrastructure.
- Conducting research into new quantitative methodologies and technologies.
- Ensuring the accuracy and robustness of models through rigorous validation processes.
- Contributing to the firm's risk management framework by analyzing market, credit, and operational risks.
- Producing clear and concise documentation of models, strategies, and methodologies.
- Staying current with market developments and regulatory changes affecting quantitative finance.
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3
Quantitative Analyst (Quant)
10001 New York, New York
$150000 Annually
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Posted 5 days ago
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Job Description
Our client is a leading global financial institution seeking a highly skilled Quantitative Analyst (Quant) to join their innovative team. This is a fully remote position, offering the flexibility to work from anywhere within the US. As a Quant, you will play a critical role in developing and implementing sophisticated financial models, pricing algorithms, and risk management strategies. You will leverage your expertise in mathematics, statistics, and programming to solve complex problems and drive trading strategies in a fast-paced market environment.
Responsibilities:
Responsibilities:
- Design, develop, and implement quantitative models for pricing derivatives, risk assessment, and portfolio optimization.
- Conduct in-depth statistical analysis of market data to identify trading opportunities and inform investment decisions.
- Collaborate with traders, portfolio managers, and technologists to translate research into production-ready trading strategies.
- Develop and maintain high-quality code in languages such as Python, C++, or R for model implementation and backtesting.
- Perform rigorous backtesting and validation of models to ensure accuracy and robustness.
- Monitor and analyze the performance of trading strategies, identifying areas for improvement and adaptation.
- Contribute to the development of risk management frameworks and limit monitoring systems.
- Stay abreast of the latest academic research and industry trends in quantitative finance.
- Communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences.
- Ensure compliance with all relevant regulatory requirements and internal policies.
- Advanced degree (Master's or Ph.D.) in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Proven experience (3+ years) as a Quantitative Analyst in investment banking, hedge funds, or asset management.
- Strong programming skills in Python, C++, and/or R, with experience in data manipulation and scientific computing libraries.
- Deep understanding of financial markets, derivatives, and fixed income products.
- Expertise in statistical modeling, time series analysis, machine learning, and numerical methods.
- Experience with large datasets and high-performance computing environments.
- Excellent problem-solving abilities and analytical thinking.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team environment.
- Familiarity with financial data vendors (e.g., Bloomberg, Refinitiv) is a plus.
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4
Quantitative Analyst (Quant)
95814 Sacramento, California
$140000 Annually
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Posted 6 days ago
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Job Description
Our client, a prestigious investment bank, is seeking a highly analytical and mathematically gifted Quantitative Analyst (Quant) to join their innovative trading strategies team. This is a fully remote position, offering the opportunity to leverage advanced mathematical models and computational techniques to develop and implement sophisticated financial strategies. The ideal candidate will possess a deep understanding of financial markets, exceptional programming skills, and a passion for solving complex quantitative problems.
Responsibilities:
Responsibilities:
- Develop, test, and implement complex mathematical models for pricing, risk management, and algorithmic trading strategies.
- Analyze large datasets to identify market inefficiencies, patterns, and trading opportunities.
- Design and build high-performance trading algorithms and execution systems.
- Collaborate closely with portfolio managers, traders, and other quants to generate trading ideas and refine strategies.
- Conduct rigorous backtesting and performance analysis of trading models and algorithms.
- Monitor market conditions and model performance, making necessary adjustments to ensure optimal results.
- Stay current with cutting-edge research in quantitative finance, machine learning, and statistical modeling.
- Develop and maintain robust code in languages such as Python, C++, or R.
- Communicate complex quantitative concepts clearly and effectively to both technical and non-technical audiences.
- Contribute to the firm's quantitative research initiatives and knowledge sharing.
- Ensure compliance with all regulatory requirements and firm policies.
- Design and implement metrics for risk assessment and portfolio optimization.
- Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Computer Science, Statistics, Financial Engineering, or a related discipline.
- Proven experience in quantitative finance, trading strategy development, or risk management.
- Exceptional proficiency in programming languages commonly used in quantitative finance (e.g., Python, C++, Java, R).
- Strong understanding of financial markets, derivatives pricing, and statistical modeling techniques.
- Experience with machine learning algorithms and their application in finance is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently in a remote, fast-paced, and demanding environment.
- Strong communication and presentation skills.
- Experience with large-scale data analysis and distributed computing frameworks.
- Demonstrated ability to translate complex mathematical concepts into practical trading applications.
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5
Quantitative Analyst (Quant)
92101 San Diego Country Estates, California
$150000 Annually
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Posted 7 days ago
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Job Description
Our client is seeking a highly analytical and mathematically gifted Quantitative Analyst to join their dynamic finance team in San Diego, California, US . This role is critical for developing and implementing sophisticated financial models, trading strategies, and risk management systems. The successful candidate will work closely with traders, portfolio managers, and other stakeholders to identify market opportunities, assess financial risks, and drive innovative solutions within the investment banking sector. You will be instrumental in the research, design, and testing of complex algorithms that underpin our trading infrastructure.
Responsibilities include:
Qualifications:
This position offers a unique opportunity to leverage cutting-edge quantitative techniques in a challenging and rewarding environment in San Diego, California, US . Join our client and be at the forefront of financial innovation.
Responsibilities include:
- Developing, backtesting, and deploying quantitative trading strategies across various asset classes.
- Building and maintaining complex financial models for pricing, risk management, and valuation.
- Performing statistical analysis and data mining on large datasets to uncover market insights.
- Collaborating with software engineers to implement quantitative models into production systems.
- Researching and identifying new trading opportunities and market inefficiencies.
- Assessing and managing market, credit, and operational risks associated with trading activities.
- Creating comprehensive documentation for models, strategies, and methodologies.
- Presenting findings and recommendations to senior management and trading desks.
- Ensuring compliance with all regulatory requirements and internal policies.
Qualifications:
- Ph.D. or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
- Proven experience in quantitative finance, preferably in an investment banking or hedge fund environment.
- Strong programming skills in languages like Python, C++, or Java, with experience in numerical libraries.
- Expertise in statistical modeling, time series analysis, and machine learning techniques.
- Deep understanding of financial markets, derivatives, and fixed income instruments.
- Excellent problem-solving abilities and attention to detail.
- Ability to work effectively under pressure in a fast-paced trading environment.
- Strong communication and presentation skills, capable of explaining complex concepts to non-technical audiences.
This position offers a unique opportunity to leverage cutting-edge quantitative techniques in a challenging and rewarding environment in San Diego, California, US . Join our client and be at the forefront of financial innovation.
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6
Quantitative Analyst (Quant)
50309 Des Moines, Iowa
$120000 Annually
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Posted 8 days ago
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Job Description
Our client is a leading financial institution seeking a highly analytical and mathematically skilled Quantitative Analyst (Quant) to join their sophisticated trading strategies team in Des Moines, Iowa, US . This role is integral to developing, implementing, and validating complex mathematical models used for pricing financial derivatives, risk management, and algorithmic trading. You will work closely with portfolio managers, traders, and technologists to identify opportunities and address challenges within the financial markets. Key responsibilities include building statistical models, performing backtesting, analyzing market data, and contributing to the continuous improvement of our quantitative frameworks. The ideal candidate will possess a Master's or Ph.D. in a quantitative discipline such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering. Exceptional programming skills in languages like Python, C++, or R are mandatory, along with a deep understanding of financial markets and instruments. Experience with financial modeling libraries, time series analysis, and data manipulation techniques is highly desirable. You must be adept at translating complex quantitative concepts into actionable insights and communicating them effectively to both technical and non-technical audiences. This position requires a rigorous, detail-oriented approach, strong problem-solving abilities, and a commitment to academic excellence in finance. The successful candidate will be instrumental in driving our quantitative research and development efforts, ensuring our competitive edge in the global financial landscape.
Responsibilities:
Responsibilities:
- Develop and implement quantitative models for financial markets.
- Price complex financial derivatives and manage associated risks.
- Design and backtest algorithmic trading strategies.
- Analyze large datasets to identify market patterns and opportunities.
- Collaborate with traders and portfolio managers to refine trading strategies.
- Maintain and improve existing quantitative models and infrastructure.
- Communicate complex findings to stakeholders effectively.
- Stay current with financial engineering and quantitative finance research.
- Master's or Ph.D. in Mathematics, Physics, Statistics, Financial Engineering, or a related field.
- Strong programming skills in Python, C++, or R.
- Solid understanding of financial markets, instruments, and derivatives.
- Experience with statistical modeling, time series analysis, and econometrics.
- Familiarity with machine learning techniques applied to finance.
- Excellent analytical, problem-solving, and quantitative skills.
- Ability to work independently and as part of a collaborative team.
- Strong communication and presentation skills.
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7
Quantitative Analyst (Quant)
46204 Indianapolis, Indiana
$110000 Annually
WhatJobs
Posted 9 days ago
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Job Description
Our client, a leading global financial institution, is seeking a highly skilled and analytical Quantitative Analyst to join their dynamic team in Indianapolis, Indiana, US . This role is critical in developing and implementing complex mathematical models for trading strategies, risk management, and pricing derivatives. The ideal candidate will possess a deep understanding of financial markets, advanced statistical methods, and strong programming skills.
Responsibilities:
Responsibilities:
- Develop, test, and implement sophisticated quantitative models for pricing complex financial instruments, including derivatives and structured products.
- Design and backtest algorithmic trading strategies to identify profitable opportunities in various markets.
- Analyze market data to identify trends, patterns, and risks, providing actionable insights to trading desks and management.
- Perform risk assessments and develop methodologies to quantify and manage market, credit, and operational risks.
- Collaborate with traders, portfolio managers, and technologists to translate business needs into quantitative solutions.
- Build and maintain high-performance computing systems for model execution and data analysis.
- Document models and methodologies thoroughly, ensuring transparency and reproducibility.
- Stay abreast of academic research and industry developments in quantitative finance.
- Contribute to the continuous improvement of the firm's quantitative infrastructure and trading systems.
- Present complex quantitative findings to non-technical stakeholders in a clear and concise manner.
- Ensure compliance with all regulatory requirements and internal policies.
- Assist in the development and implementation of new financial products.
- Mentor junior quantitative analysts and contribute to team development.
- Master's degree or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
- Minimum of 5 years of experience in quantitative analysis, financial modeling, or algorithmic trading within an investment bank, hedge fund, or asset management firm.
- Strong knowledge of financial markets, derivative pricing theory, and risk management principles.
- Proficiency in programming languages commonly used in quantitative finance, such as Python (with libraries like NumPy, SciPy, Pandas), C++, or R.
- Experience with databases (SQL, NoSQL) and data manipulation techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts effectively.
- Familiarity with machine learning techniques and their application in finance is a plus.
- Ability to work independently and collaboratively in a fast-paced, demanding environment.
- Demonstrated ability to implement models in a production setting.
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8
Quantitative Analyst (Quant)
83701 Emmett, Idaho
$160000 Annually
WhatJobs
Posted 10 days ago
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Job Description
Our client, a prestigious investment bank, is actively seeking a highly analytical and detail-oriented Quantitative Analyst (Quant) to join their dynamic, fully remote trading strategies team. This role offers a unique opportunity to design, develop, and implement sophisticated mathematical models and algorithms that drive our trading decisions and risk management strategies. You will work with large, complex datasets, applying advanced statistical techniques and programming skills to derive actionable insights. The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or a related discipline, coupled with significant experience in financial modeling. Proficiency in programming languages like Python, C++, or R, and experience with machine learning techniques are essential. Responsibilities include developing pricing models, risk management systems, and trading algorithms, as well as performing rigorous backtesting and validation. You will collaborate closely with traders, portfolio managers, and other quants to refine strategies and enhance performance. A strong understanding of financial markets, derivatives, and fixed income is highly desirable. This is a fully remote position, demanding exceptional self-discipline, strong communication skills for remote collaboration, and the ability to work independently. We are looking for a proactive problem-solver who can contribute innovative ideas and solutions to our cutting-edge quantitative finance initiatives, supporting our operations in the **Boise, Idaho, US** region and beyond.
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